def fetch(self, dataset):
"""
Reads the dataset sub-objects from database
Retrieves the list of Timeseries
:param dataset: Dataset object
:type dataset: Dataset
:returns: the list of Timeseries composing the Dataset
:rtype: list of Timeseries
:raises TypeError: if name is not a Dataset
:raises IkatsNotFoundError: if dataset not found in database
"""
check_type(value=dataset,
allowed_types=Dataset,
var_name="dataset",
raise_exception=True)
result = self.dm_client.dataset_read(dataset.name)
ts = [
Timeseries(tsuid=x['tsuid'], fid=x['funcId'], api=self.api)
for x in result.get('ts_list', [])
]
return ts
def __init__(self, api, json_data=None):
"""
Constructor
:param api: see IkatsObject
:param json_data: information provided by catalog to fill this input/parameter/output
:type api: IkatsAPI
:type json_data: dict
"""
self.__desc = None
self.__domain = None
self.__label = None
self.__name = None
self.__order_index = None
self.__dtype = None
self.__default_value = None
self.__rid = None
self.__api = None
self.api = api
if json_data is not None:
check_type(value=json_data, allowed_types=dict, var_name="json_data", raise_exception=True)
self.desc = json_data.get("description", None)
self.domain = json_data.get("domain", None)
self.label = json_data.get("label", None)
self.name = json_data.get("name", None)
self.order_index = json_data.get("order_index", None)
self.dtype = json_data.get("type", None)
self.default_value = json_data.get("default_values", None)
def delete(self, name, raise_exception=True):
"""
Delete a table
Returns a boolean status of the action (True means "OK", False means "errors occurred")
:param name: the name of the table to delete
:param raise_exception: Indicates if exceptions shall be raised (True, default) or not (False)
:type name: str
:type raise_exception: bool
:returns: the status of deletion (True=deleted, False otherwise)
:rtype: bool
:raises IkatsNotFoundError: if table not found in database
"""
check_type(value=name,
allowed_types=str,
var_name="name",
raise_exception=True)
check_type(value=raise_exception,
allowed_types=bool,
var_name="raise_exception",
raise_exception=True)
try:
self.dm_client.table_delete(name=name)
except IkatsException:
if raise_exception:
raise
return False
return True
def get_type(self, name):
"""
Get the metadata type if present in local cache.
If cache is empty, fetch the data from database
:param name: name of the metadata to get
:type name: str
:returns: the type of the value
:rtype: DTYPE
:raises IkatsNotFoundError: if metadata doesn't exist
"""
# Input check
check_type(value=name,
allowed_types=str,
var_name="name",
raise_exception=True)
# Update metadata if empty
if self.__data is None:
self.fetch()
# A metadata marked as 'deleted' shall not be returned
if name not in self.__data or self.__data[name]["deleted"]:
raise IkatsNotFoundError("Metadata '%s' not defined" % name)
return self.__data[name]["dtype"]
def get(self, name):
"""
Reads the dataset information from database
Retrieves description and list of Timeseries
:param name: Dataset name
:type name: str
:returns: the retrieved Dataset object with Timeseries list filled
:rtype: Dataset
:raises TypeError: if *name* is not a Dataset
:raises IkatsNotFoundError: if dataset not found in database
"""
check_type(value=name,
allowed_types=str,
var_name="name",
raise_exception=True)
result = self.dm_client.dataset_read(name)
ts = [
Timeseries(tsuid=x['tsuid'], fid=x['funcId'], api=self.api)
for x in result.get('ts_list', [])
]
description = result.get("description", "")
return Dataset(api=self.api, name=name, desc=description, ts=ts)
def is_json_valid(data, raise_exception=True):
"""
Check if the provided JSON (as a dict) contains all necessary information to be considered valid
:param data: the JSON as dict
:param raise_exception: Indicates if exceptions shall be raised (True, default) or not (False)
:type data: dict
:type raise_exception: bool
:return: the check status
:rtype: bool
:raises SchemaError: if JSON is invalid
"""
check_type(value=data,
allowed_types=dict,
var_name="data",
raise_exception=True)
try:
TABLE_SCHEMA.validate(data=data)
return True
except SchemaError:
if raise_exception:
raise
return False
def delete(self, name):
"""
Mark a metadata as 'deleted'
The deletion will be trigger on remote side upon `Metadata.save()` action
The marked metadata won't be accessible locally anymore
However, the metadata can still be recreated again (using Metadata.set())
:param name: Name of the metadata to delete
:type name: str
"""
# Input check
check_type(value=name,
allowed_types=str,
var_name="name",
raise_exception=True)
# Empty local database
if self.__data is None:
self.__data = dict()
# Metadata is absent
if name not in self.__data:
self.__data[name] = dict()
self.__data[name]["deleted"] = True
def fetch(self, metadata):
"""
Fetch and return metadata information about the Metadata object provided
The returned dict has the following format:
{
'md1':{'value':'value1', 'dtype': 'dtype', 'deleted': False},
'md2':{'value':'value2', 'dtype': 'dtype', 'deleted': False}
}
:param metadata: Metadata object containing a valid tsuid
:type metadata: Metadata
:returns: the object containing information about each metadata matching the TSUID.
:rtype: dict
:raises IkatsNotFoundError: if metadata doesn't exist
"""
check_type(value=metadata,
allowed_types=Metadata,
raise_exception=True)
result = self.dm_client.metadata_get_typed(
ts_list=[metadata.tsuid])[metadata.tsuid]
for md in result:
# Converts MDType
result[md]["dtype"] = result[md]["dtype"]
# Flag metadata as "not deleted"
result[md]["deleted"] = False
return result
def new(self, name=None, data=None):
"""
Creates an empty table locally
:param name: (optional) name of the Table
:param data: (optional) data of the table (as a JSON)
:type name: str or None
:type data: dict or None
:return: the Table object
:rtype: Table
:raises IkatsConflictError: if table already exist
"""
check_type(value=name,
allowed_types=[str, None],
var_name="name",
raise_exception=True)
check_type(value=data,
allowed_types=[dict, None],
var_name="data",
raise_exception=True)
try:
self.dm_client.table_read(name=name)
except IkatsNotFoundError:
return Table(api=self.api, name=name, data=data)
raise IkatsConflictError(
"Table already exist. Try using `get()` method")
def list(self, name=None, strict=True):
"""
List all tables
If name is specified, filter by name
name can contains "*", this character is considered as "any chars" (equivalent to regexp /.*/)
:param name: name to find
:param strict: consider name without any wildcards
:type name: str or None
:type strict: bool
:returns: the list of tables matching the requirements
:rtype: list
"""
check_type(value=name,
allowed_types=[str, None],
var_name="name",
raise_exception=True)
check_type(value=strict,
allowed_types=bool,
var_name="strict",
raise_exception=True)
return self.dm_client.table_list(name=name, strict=strict)
def get_func_id_from_tsuid(self, tsuid):
"""
Retrieve the functional identifier resource associated to the tsuid param.
The resource returned aggregates original tsuid and retrieved fundId.
:param tsuid: one tsuid value
:type tsuid: str
:returns: retrieved functional identifier resource
:rtype: dict having following keys defined:
- 'tsuid'
- and 'funcId'
:raises exception:
- TypeError: if tsuid is not a str OR status_code 400 (bad request) OR unexpected http status_code
- ValueError: mismatched result: http status_code 404: not found
- ServerError: http status_code for server errors: 500 <= status_code < 600
"""
check_type(value=tsuid,
allowed_types=str,
var_name="tsuid",
raise_exception=True)
response = self.send(
root_url=self.session.dm_url + self.root_url,
verb=GenericClient.VERB.GET,
template=TEMPLATES['get_one_functional_identifier'],
uri_params={'tsuid': tsuid},
data=None,
files=None)
check_http_code(response)
return response.json['funcId']
def get_fid(self, tsuid):
"""
Get a functional ID from its TSUID
:param tsuid: TSUID identifying the TS
:type tsuid: str
:raises TypeError: if *tsuid* not a str
:raises ValueError: if *tsuid* is empty
:raises ValueError: if *tsuid* doesn't have a FID
"""
# Checks inputs
check_type(value=tsuid,
allowed_types=str,
var_name="tsuid",
raise_exception=True)
if tsuid == "":
self.session.log.error("tsuid must not be empty")
raise ValueError("tsuid must not be empty")
response = self.send(root_url=self.session.dm_url + self.root_url,
verb=GenericClient.VERB.GET,
template=TEMPLATES['get_fid'],
uri_params={'tsuid': tsuid})
# in case of success, web app returns 2XX
if response.status_code == 200:
if response.json != '{}':
fid = response.json['funcId']
return fid
raise IndexError("No FID for TSUID [%s]" % tsuid)
raise ValueError("No FID for TSUID [%s]" % tsuid)
def desc(self, value):
check_type(value=value,
allowed_types=[str, None],
var_name="description",
raise_exception=True)
self.__desc = value
if value is None:
self.__desc = ""
def session(self, value):
check_type(value=value,
allowed_types=IkatsSession,
var_name="session",
raise_exception=True)
if value.rs is None:
raise ValueError(
"Requests Session not set in provided IKATS session")
self.__session = value
def name(self, value):
check_type(value=value,
allowed_types=[str, None],
var_name="name",
raise_exception=True)
if value is not None:
check_is_valid_ds_name(value=value, raise_exception=True)
if self.__name != value:
self.__flag_ts_loaded = False
self.__name = value
def port(self, value):
check_type(value=value,
allowed_types=[int, str, float, None],
var_name="port",
raise_exception=True)
if int(value) <= 0 or int(value) >= 65535:
raise ValueError("Port must be within ]0;65535] (got %s)" % value)
self.__port = int(value)
def ts_delete(self, tsuid, raise_exception=True):
"""
Remove timeseries from database
return bool status except if raise_exception is set to True.
In this case, return True or raise the corresponding exception
Corresponding web app resource operation: **removeTimeSeries**
which deletes also all information related to other objects like Metadata, Dataset
:param tsuid: tsuid of the timeseries to remove
:param raise_exception: set to True to raise exceptions
:type tsuid: str
:type raise_exception: bool
:returns: the action status (True if deleted, False otherwise)
:rtype: bool
:raises TypeError: if *tsuid* is not a str
:raises IkatsNotFoundError: if *tsuid* is not found on server
:raises IkatsConflictError: if *tsuid* belongs to -at least- one dataset
:raises SystemError: if any other unhandled error occurred
"""
# Checks inputs
check_type(value=tsuid,
allowed_types=str,
var_name="tsuid",
raise_exception=True)
response = self.send(root_url=self.session.dm_url + self.root_url,
verb=GenericClient.VERB.DELETE,
template=TEMPLATES['remove_ts'],
uri_params={'tsuid': tsuid})
if response.status_code == 204:
# Timeseries has been successfully deleted
result = True
elif response.status_code == 404:
# Timeseries not found in database
if raise_exception:
raise IkatsNotFoundError(
"Timeseries %s not found in database" % tsuid)
result = False
elif response.status_code == 409:
# Timeseries linked to existing dataset
if raise_exception:
raise IkatsConflictError(
"%s belongs to -at least- one dataset" % tsuid)
result = False
else:
if raise_exception:
raise SystemError("An unhandled error occurred")
result = False
return result
def name(self, value):
check_type(value=value,
allowed_types=[str, None],
var_name="name",
raise_exception=True)
if value is not None:
self.__name = value
if self.__data is not None:
try:
self.__data['table_desc']['name'] = value
except KeyError:
pass
def tsuid(self, value):
"""
Setter for tsuid
This setter shouldn't be used manually
"""
check_type(value=value,
allowed_types=[str, None],
var_name="tsuid",
raise_exception=True)
if self.__tsuid != value:
self.__tsuid = value
# Update Metadata link
self.metadata.tsuid = value
def data(self, value):
check_type(value=value,
allowed_types=[dict, None],
var_name="name",
raise_exception=True)
if value is not None:
self.is_json_valid(data=value)
try:
self.name = value['table_desc']['name']
except KeyError:
# The data doesn't contain the name, just skip this part
pass
self.__data = value
def import_fid(self, tsuid, fid):
"""
Import a functional ID into database
:param tsuid: TSUID identifying the TS
:param fid: Functional identifier
:type tsuid: str
:type fid: str
:raises TypeError: if *tsuid* not a str
:raises TypeError: if *fid* not a str
:raises ValueError: if *tsuid* is empty
:raises ValueError: if *fid* is empty
:raises IkatsConflictError: if *fid* exists
:raises SystemError: if another issue occurs
"""
# Checks inputs
check_is_fid_valid(fid=fid, raise_exception=True)
check_type(value=tsuid,
allowed_types=str,
var_name="tsuid",
raise_exception=True)
if tsuid == "":
raise ValueError("tsuid must not be empty")
response = self.send(root_url=self.session.dm_url + self.root_url,
verb=GenericClient.VERB.POST,
template=TEMPLATES['import_fid'],
uri_params={
'tsuid': tsuid,
'fid': fid
})
# In case of success, web app returns 2XX
if response.status_code == 200:
pass
elif response.status_code == 409:
raise IkatsConflictError(
"TSUID:%s - FID already exists (not updated) %s" %
(tsuid, fid))
else:
self.session.log.warning("TSUID:%s - FID %s not created (got %s)",
tsuid, fid, response.status_code)
raise SystemError("TSUID:%s - FID %s not created (got %s)" %
(tsuid, fid, response.status_code))
def ts(self, value):
check_type(value=value,
allowed_types=[list, None],
var_name="ts",
raise_exception=True)
if value is not None:
for ts in value:
check_type(value=ts,
allowed_types=[str, Timeseries],
var_name="ts",
raise_exception=True)
self.__ts = [
x if isinstance(x, Timeseries) else Timeseries(tsuid=x,
api=self.api)
for x in value
]
def dataset_delete(self, name, deep=False):
"""
Remove data_set from base
Corresponding web app resource operation: **removeDataSet**
:param name: name of the dataset to delete
:type name: str
:param deep: true to deeply remove dataset (TSUID and metadata erased)
:type deep: boolean
:returns: the response body
:rtype: str
.. note::
Removing an unknown dataset results in a successful operation (server constraint)
The only possible errors may come from server (HTTP status_code code 5xx)
:raises TypeError: if *name* is not a str
:raises TypeError: if *deep* is not a bool
"""
# Checks inputs
check_type(value=name,
allowed_types=str,
var_name="name",
raise_exception=True)
check_is_valid_ds_name(value=name, raise_exception=True)
check_type(value=deep,
allowed_types=bool,
var_name="deep",
raise_exception=True)
template = 'dataset_remove'
if deep:
template = 'dataset_deep_remove'
response = self.send(root_url=self.session.dm_url + self.root_url,
verb=GenericClient.VERB.DELETE,
template=TEMPLATES[template],
uri_params={'name': name})
if response.status_code == 404:
raise IkatsNotFoundError("Dataset %s not found in database" % name)
return response.text
def delete(self, ts, raise_exception=True):
"""
Delete the data corresponding to a *ts* object and all associated metadata
Note that if timeseries belongs to a dataset it will not be removed
Returns a boolean status of the action (True means "OK", False means "errors occurred")
:param ts: tsuid of the timeseries or Timeseries Object to remove
:param raise_exception: (optional) Indicates if IKATS exceptions shall be raised (True, default) or not (False)
:type ts: str or Timeseries
:type raise_exception: bool
:returns: the status of the action
:rtype: bool
:raises TypeError: if *ts* is not a str nor a Timeseries
:raises IkatsNotFoundError: if timeseries is not found on server
:raises IkatsConflictError: if timeseries belongs to -at least- one dataset
"""
check_type(value=ts,
allowed_types=[str, Timeseries],
var_name="ts",
raise_exception=True)
tsuid = ts
if isinstance(ts, Timeseries):
if ts.tsuid is not None:
tsuid = ts.tsuid
elif ts.fid is not None:
try:
tsuid = self.dm_client.get_tsuid_from_fid(fid=ts.fid)
except IkatsException:
if raise_exception:
raise
return False
else:
raise ValueError(
"Timeseries object shall have set at least tsuid or fid")
return self.dm_client.ts_delete(tsuid=tsuid,
raise_exception=raise_exception)
def dataset_read(self, name):
"""
Retrieve the details of a Dataset provided in arguments
Corresponding web app resource operation: **getDataSet**
:param name: name of the dataset to request TS list from
:type name: str
:return:
information about ts_list and description
* *ts_list* is the list of TS matching the data_set
* *description* is the description sentence of the dataset
:rtype: dict
:raises TypeError: if name is not a str
:raises IkatsNotFoundError: if dataset doesn't exist in database
"""
# Checks inputs
check_type(value=name,
allowed_types=str,
var_name="name",
raise_exception=True)
ret = {'ts_list': [], 'description': None}
response = self.send(root_url=self.session.dm_url + self.root_url,
verb=GenericClient.VERB.GET,
template=TEMPLATES['dataset_read'],
uri_params={'name': name})
is_404(response=response,
msg="Dataset %s not found in database" % name)
if response.status_code == 200:
if 'fids' in response.json:
ret['ts_list'] = response.json['fids']
if 'description' in response.json:
ret['description'] = response.json['description']
return ret
raise SystemError("Something wrong happened")
def search_functional_identifiers(self, criterion_type, criteria_list):
"""
Retrieve the list of functional identifier records.
Each resource record aggregates one tsuid and associated fundId.
Note: partial match will not raise error, contrary to empty match.
:param criterion_type: defines criterion applicable to this search
:type criterion_type: str value accepted by server.
ex: 'tsuids' or 'funcIds'
:param criteria_list: non empty list of possible values for the criterion type
:type criteria_list: list of str
:returns: matching list of functional identifier resources: dict having following keys defined:
- 'tsuid',
- and 'funcId'
:rtype: list of dict
:raises exception:
- TypeError: if unexpected arguments OR status_code 400 (bad request) OR unexpected http status_code
- ValueError: mismatched result: http status_code 404: not found
- ServerError: http status_code for server errors: 500 <= status_code < 600
"""
check_type(value=criterion_type,
allowed_types=str,
var_name="criterion_type",
raise_exception=True)
check_type(value=criteria_list,
allowed_types=list,
var_name="criteria_list",
raise_exception=True)
my_filter = dict()
my_filter[criterion_type] = criteria_list
response = self.send(
root_url=self.session.dm_url + self.root_url,
verb=GenericClient.VERB.POST,
template=TEMPLATES['search_functional_identifier_list'],
data=my_filter,
files=None)
check_http_code(response)
return response.json
def delete(self, raise_exception=True):
"""
Remove the table from database but keep the local object
Returns a boolean status of the action (True means "OK", False means "errors occurred")
:param raise_exception: Indicates if exceptions shall be raised (True, default) or not (False)
:type raise_exception: bool
:returns: the status of the action
:rtype: bool
:raises IkatsNotFoundError: if table not found in database
"""
check_type(value=raise_exception,
allowed_types=bool,
var_name="raise_exception",
raise_exception=True)
return self.api.table.delete(name=self.name,
raise_exception=raise_exception)
def delete(self, name, deep=False, raise_exception=True):
"""
Remove dataset from database
Returns a boolean status of the action (True means "OK", False means "errors occurred")
:param name: Dataset name to delete
:param deep: true to deeply remove dataset (tsuid and metadata erased)
:param raise_exception: Indicates if exceptions shall be raised (True, default) or not (False)
:type name: str or Dataset
:type deep: bool
:type raise_exception: bool
:returns: the status of the action
:rtype: bool
:raises TypeError: if *name* is not a str
:raises TypeError: if *deep* is not a bool
:raises ValueError: if *name* is a valid name
:raises IkatsNotFoundError: if dataset not found in database
"""
check_type(value=deep,
allowed_types=[bool, None],
var_name="deep",
raise_exception=True)
check_type(value=name,
allowed_types=[str, Dataset],
var_name="name",
raise_exception=True)
if isinstance(name, Dataset):
name = name.name
check_is_valid_ds_name(value=name, raise_exception=True)
try:
self.dm_client.dataset_delete(name=name, deep=deep)
except IkatsException:
if raise_exception:
raise
return False
return True
def get(self, name):
"""
Reads the data blob content: for the unique table identified by id.
:param name: the id key of the raw table to get data from
:type name: str
:returns: the content data stored.
:rtype: bytes or str or object
:raises IkatsNotFoundError: no resource identified by ID
:raises IkatsException: any other error
"""
check_type(value=name,
allowed_types=str,
var_name="name",
raise_exception=True)
data = self.dm_client.table_read(name=name)
return Table(api=self.api, name=name, data=data)
def save(self, raise_exception=True):
"""
Save the table to database (creation only, no update available)
Returns a boolean status of the action (True means "OK", False means "errors occurred")
:param raise_exception: Indicates if exceptions shall be raised (True, default) or not (False)
:type raise_exception: bool
:returns: the status of the action
:rtype: bool
:raises IkatsConflictError: if Table name already exists in database
"""
check_type(value=raise_exception,
allowed_types=bool,
var_name="raise_exception",
raise_exception=True)
return self.api.table.save(data=self.data,
name=self.name,
raise_exception=raise_exception)
