diff --git a/.jupyter/api_authentication/models/column_dto.py b/.jupyter/api_authentication/models/column_dto.py
index a10ab13755e5a2dc8f96502ed7e6d70f4b1d727a..7afd5f2efe895e01aae1cf6cecf11fc6fce30468 100644
--- a/.jupyter/api_authentication/models/column_dto.py
+++ b/.jupyter/api_authentication/models/column_dto.py
@@ -90,11 +90,13 @@ class ColumnDto(object):
if references is not None:
self.references = references
self.internal_name = internal_name
- self.date_format = date_format
+ if date_format is not None:
+ self.date_format = date_format
self.auto_generated = auto_generated
self.is_primary_key = is_primary_key
self.column_type = column_type
- self.column_concept = column_concept
+ if column_concept is not None:
+ self.column_concept = column_concept
if decimal_digits_before is not None:
self.decimal_digits_before = decimal_digits_before
if decimal_digits_after is not None:
@@ -308,11 +310,11 @@ class ColumnDto(object):
if column_type is None:
raise ValueError("Invalid value for `column_type`, must not be `None`") # noqa: E501
allowed_values = ["ColumnTypeDto.ENUM", "ColumnTypeDto.NUMBER", "ColumnTypeDto.DECIMAL", "ColumnTypeDto.STRING", "ColumnTypeDto.TEXT", "ColumnTypeDto.BOOLEAN", "ColumnTypeDto.DATE", "ColumnTypeDto.TIMESTAMP", "ColumnTypeDto.BLOB"] # noqa: E501
- if column_type not in allowed_values:
- raise ValueError(
- "Invalid value for `column_type` ({0}), must be one of {1}" # noqa: E501
- .format(column_type, allowed_values)
- )
+ #if column_type not in allowed_values:
+ # raise ValueError(
+ # "Invalid value for `column_type` ({0}), must be one of {1}" # noqa: E501
+ # .format(column_type, allowed_values)
+ # )
self._column_type = column_type
@@ -334,8 +336,6 @@ class ColumnDto(object):
:param column_concept: The column_concept of this ColumnDto. # noqa: E501
:type: ConceptDto
"""
- if column_concept is None:
- raise ValueError("Invalid value for `column_concept`, must not be `None`") # noqa: E501
self._column_concept = column_concept
diff --git a/.jupyter/api_container/models/column_dto.py b/.jupyter/api_container/models/column_dto.py
index 6bfa26fa1dd337b68320215f13f592d8dbea20f4..e7d8778b62db0a624f30d665e0eff49749468291 100644
--- a/.jupyter/api_container/models/column_dto.py
+++ b/.jupyter/api_container/models/column_dto.py
@@ -90,11 +90,13 @@ class ColumnDto(object):
if references is not None:
self.references = references
self.internal_name = internal_name
- self.date_format = date_format
+ if date_format is not None:
+ self.date_format = date_format
self.auto_generated = auto_generated
self.is_primary_key = is_primary_key
self.column_type = column_type
- self.column_concept = column_concept
+ if column_concept is not None:
+ self.column_concept = column_concept
if decimal_digits_before is not None:
self.decimal_digits_before = decimal_digits_before
if decimal_digits_after is not None:
@@ -308,11 +310,11 @@ class ColumnDto(object):
if column_type is None:
raise ValueError("Invalid value for `column_type`, must not be `None`") # noqa: E501
allowed_values = ["ColumnTypeDto.ENUM", "ColumnTypeDto.NUMBER", "ColumnTypeDto.DECIMAL", "ColumnTypeDto.STRING", "ColumnTypeDto.TEXT", "ColumnTypeDto.BOOLEAN", "ColumnTypeDto.DATE", "ColumnTypeDto.TIMESTAMP", "ColumnTypeDto.BLOB"] # noqa: E501
- if column_type not in allowed_values:
- raise ValueError(
- "Invalid value for `column_type` ({0}), must be one of {1}" # noqa: E501
- .format(column_type, allowed_values)
- )
+ #if column_type not in allowed_values:
+ # raise ValueError(
+ # "Invalid value for `column_type` ({0}), must be one of {1}" # noqa: E501
+ # .format(column_type, allowed_values)
+ # )
self._column_type = column_type
@@ -334,8 +336,6 @@ class ColumnDto(object):
:param column_concept: The column_concept of this ColumnDto. # noqa: E501
:type: ConceptDto
"""
- if column_concept is None:
- raise ValueError("Invalid value for `column_concept`, must not be `None`") # noqa: E501
self._column_concept = column_concept
diff --git a/.jupyter/api_database/models/column_dto.py b/.jupyter/api_database/models/column_dto.py
index 9177989e7dd3f8d7e72f4cf9d3bd3c7d8daf4ca3..10de4f2ab06f98daa42052678920eecea0bdf37f 100644
--- a/.jupyter/api_database/models/column_dto.py
+++ b/.jupyter/api_database/models/column_dto.py
@@ -90,11 +90,13 @@ class ColumnDto(object):
if references is not None:
self.references = references
self.internal_name = internal_name
- self.date_format = date_format
+ if date_format is not None:
+ self.date_format = date_format
self.auto_generated = auto_generated
self.is_primary_key = is_primary_key
self.column_type = column_type
- self.column_concept = column_concept
+ if column_concept is not None:
+ self.column_concept = column_concept
if decimal_digits_before is not None:
self.decimal_digits_before = decimal_digits_before
if decimal_digits_after is not None:
@@ -308,11 +310,11 @@ class ColumnDto(object):
if column_type is None:
raise ValueError("Invalid value for `column_type`, must not be `None`") # noqa: E501
allowed_values = ["ColumnTypeDto.ENUM", "ColumnTypeDto.NUMBER", "ColumnTypeDto.DECIMAL", "ColumnTypeDto.STRING", "ColumnTypeDto.TEXT", "ColumnTypeDto.BOOLEAN", "ColumnTypeDto.DATE", "ColumnTypeDto.TIMESTAMP", "ColumnTypeDto.BLOB"] # noqa: E501
- if column_type not in allowed_values:
- raise ValueError(
- "Invalid value for `column_type` ({0}), must be one of {1}" # noqa: E501
- .format(column_type, allowed_values)
- )
+ #if column_type not in allowed_values:
+ # raise ValueError(
+ # "Invalid value for `column_type` ({0}), must be one of {1}" # noqa: E501
+ # .format(column_type, allowed_values)
+ # )
self._column_type = column_type
@@ -334,8 +336,6 @@ class ColumnDto(object):
:param column_concept: The column_concept of this ColumnDto. # noqa: E501
:type: ConceptDto
"""
- if column_concept is None:
- raise ValueError("Invalid value for `column_concept`, must not be `None`") # noqa: E501
self._column_concept = column_concept
diff --git a/.jupyter/api_query/models/column_dto.py b/.jupyter/api_query/models/column_dto.py
index 4873a95e8de00c9fd8622dd19aeec1010eb97d3a..9a4b657473224c496bc37e20470158e475fbf7b7 100644
--- a/.jupyter/api_query/models/column_dto.py
+++ b/.jupyter/api_query/models/column_dto.py
@@ -310,11 +310,11 @@ class ColumnDto(object):
if column_type is None:
raise ValueError("Invalid value for `column_type`, must not be `None`") # noqa: E501
allowed_values = ["ColumnTypeDto.ENUM", "ColumnTypeDto.NUMBER", "ColumnTypeDto.DECIMAL", "ColumnTypeDto.STRING", "ColumnTypeDto.TEXT", "ColumnTypeDto.BOOLEAN", "ColumnTypeDto.DATE", "ColumnTypeDto.TIMESTAMP", "ColumnTypeDto.BLOB"] # noqa: E501
- if column_type not in allowed_values:
- raise ValueError(
- "Invalid value for `column_type` ({0}), must be one of {1}" # noqa: E501
- .format(column_type, allowed_values)
- )
+ #if column_type not in allowed_values:
+ # raise ValueError(
+ # "Invalid value for `column_type` ({0}), must be one of {1}" # noqa: E501
+ # .format(column_type, allowed_values)
+ # )
self._column_type = column_type
diff --git a/.jupyter/api_table/models/column_dto.py b/.jupyter/api_table/models/column_dto.py
index 75f507814e83bc88c6cb76bd29379e3e12354d5f..5fc05d2630869af4039556e92c077f991a9c4591 100644
--- a/.jupyter/api_table/models/column_dto.py
+++ b/.jupyter/api_table/models/column_dto.py
@@ -310,11 +310,11 @@ class ColumnDto(object):
if column_type is None:
raise ValueError("Invalid value for `column_type`, must not be `None`") # noqa: E501
allowed_values = ["ColumnTypeDto.ENUM", "ColumnTypeDto.NUMBER", "ColumnTypeDto.DECIMAL", "ColumnTypeDto.STRING", "ColumnTypeDto.TEXT", "ColumnTypeDto.BOOLEAN", "ColumnTypeDto.DATE", "ColumnTypeDto.TIMESTAMP", "ColumnTypeDto.BLOB"] # noqa: E501
- if column_type not in allowed_values:
- raise ValueError(
- "Invalid value for `column_type` ({0}), must be one of {1}" # noqa: E501
- .format(column_type, allowed_values)
- )
+ #if column_type not in allowed_values:
+ # raise ValueError(
+ # "Invalid value for `column_type` ({0}), must be one of {1}" # noqa: E501
+ # .format(column_type, allowed_values)
+ # )
self._column_type = column_type
diff --git a/.jupyter/dev.py b/.jupyter/dev.py
deleted file mode 100755
index 5f4cf64f3824e333372bf5ae61c811afe1e19d45..0000000000000000000000000000000000000000
--- a/.jupyter/dev.py
+++ /dev/null
@@ -1,10 +0,0 @@
-import csv
-import time
-
-with open('./resources/ugz_ogd_air_h1_2021.csv', mode='r', encoding='utf-8-sig') as f:
- csv_reader = csv.reader(f, delimiter=',', quotechar='"')
- for row in csv_reader:
- payload = {'date': row[0], 'location': row[1], 'parameter': row[2], 'interval': row[3], 'unit': row[4],
- 'value': row[5], 'status': row[6]}
- print('sending', payload, '...')
- time.sleep(5)
diff --git a/.jupyter/feature_extract.ipynb b/.jupyter/feature_extract.ipynb
index dfa34c18584a7f8ae0dcb1a0dd65c3df13f780e5..904dae570346145222a45946873b702e556aa1c0 100644
--- a/.jupyter/feature_extract.ipynb
+++ b/.jupyter/feature_extract.ipynb
@@ -16,7 +16,7 @@
},
{
"cell_type": "code",
- "execution_count": 51,
+ "execution_count": 1,
"metadata": {
"pycharm": {
"name": "#%%\n"
@@ -54,7 +54,7 @@
},
{
"cell_type": "code",
- "execution_count": 52,
+ "execution_count": 2,
"metadata": {
"pycharm": {
"name": "#%%\n"
@@ -80,7 +80,7 @@
},
{
"cell_type": "code",
- "execution_count": 53,
+ "execution_count": 3,
"metadata": {
"pycharm": {
"name": "#%%\n"
@@ -117,7 +117,7 @@
},
{
"cell_type": "code",
- "execution_count": 54,
+ "execution_count": 4,
"metadata": {
"pycharm": {
"name": "#%%\n"
@@ -128,7 +128,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "{'created': datetime.datetime(2022, 7, 16, 23, 7, 27, 694000, tzinfo=tzutc()),\n",
+ "{'created': datetime.datetime(2022, 7, 18, 16, 42, 13, 567000, tzinfo=tzutc()),\n",
" 'creator': {'authorities': None,\n",
" 'containers': None,\n",
" 'databases': None,\n",
@@ -142,11 +142,11 @@
" 'titles_after': None,\n",
" 'titles_before': None,\n",
" 'username': 'user'},\n",
- " 'hash': 'e82d1959b1077dc04803c424b7860c7294bb21436df89d1bbf967ed3ce28d4e8',\n",
- " 'id': 5,\n",
- " 'internal_name': 'fda-userdb-ethmusmir-0fa84f08-055c-11ed-926d-6130ea600442',\n",
+ " 'hash': '8a1433085098edbbf017221e400eb8575262dbaf4aaa6a2f4e75178ec9fe6832',\n",
+ " 'id': 2,\n",
+ " 'internal_name': 'fda-userdb-ethmusmir-9361f062-06b8-11ed-9f94-5dbb795396e0',\n",
" 'is_public': None,\n",
- " 'name': 'ethmusmir 0fa84f08-055c-11ed-926d-6130ea600442'}\n"
+ " 'name': 'ethmusmir 9361f062-06b8-11ed-9f94-5dbb795396e0'}\n"
]
}
],
@@ -162,7 +162,7 @@
},
{
"cell_type": "code",
- "execution_count": 55,
+ "execution_count": 5,
"metadata": {
"pycharm": {
"name": "#%%\n"
@@ -173,7 +173,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "{'created': datetime.datetime(2022, 7, 16, 23, 7, 27, 694000, tzinfo=tzutc()),\n",
+ "{'created': datetime.datetime(2022, 7, 18, 16, 42, 13, 567000, tzinfo=tzutc()),\n",
" 'creator': {'authorities': None,\n",
" 'containers': None,\n",
" 'databases': None,\n",
@@ -187,11 +187,11 @@
" 'titles_after': None,\n",
" 'titles_before': None,\n",
" 'username': 'user'},\n",
- " 'hash': 'e82d1959b1077dc04803c424b7860c7294bb21436df89d1bbf967ed3ce28d4e8',\n",
- " 'id': 5,\n",
- " 'internal_name': 'fda-userdb-ethmusmir-0fa84f08-055c-11ed-926d-6130ea600442',\n",
+ " 'hash': '8a1433085098edbbf017221e400eb8575262dbaf4aaa6a2f4e75178ec9fe6832',\n",
+ " 'id': 2,\n",
+ " 'internal_name': 'fda-userdb-ethmusmir-9361f062-06b8-11ed-9f94-5dbb795396e0',\n",
" 'is_public': None,\n",
- " 'name': 'ethmusmir 0fa84f08-055c-11ed-926d-6130ea600442'}\n"
+ " 'name': 'ethmusmir 9361f062-06b8-11ed-9f94-5dbb795396e0'}\n"
]
}
],
@@ -205,7 +205,7 @@
},
{
"cell_type": "code",
- "execution_count": 56,
+ "execution_count": 6,
"metadata": {
"pycharm": {
"name": "#%%\n"
@@ -217,42 +217,42 @@
"output_type": "stream",
"text": [
"{'contact': None,\n",
- " 'container': {'created': datetime.datetime(2022, 7, 16, 23, 7, 27, 694000, tzinfo=tzutc()),\n",
+ " 'container': {'created': datetime.datetime(2022, 7, 18, 16, 42, 13, 567000, tzinfo=tzutc()),\n",
" 'databases': None,\n",
- " 'hash': 'e82d1959b1077dc04803c424b7860c7294bb21436df89d1bbf967ed3ce28d4e8',\n",
- " 'id': 5,\n",
+ " 'hash': '8a1433085098edbbf017221e400eb8575262dbaf4aaa6a2f4e75178ec9fe6832',\n",
+ " 'id': 2,\n",
" 'image': {'compiled': None,\n",
- " 'date_formats': [{'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 212000, tzinfo=tzutc()),\n",
+ " 'date_formats': [{'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 460000, tzinfo=tzutc()),\n",
" 'database_format': '%Y-%c-%d',\n",
" 'example': '2022-01-30',\n",
" 'has_time': False,\n",
" 'id': 1,\n",
" 'unix_format': 'yyyy-MM-dd'},\n",
- " {'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 221000, tzinfo=tzutc()),\n",
+ " {'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 469000, tzinfo=tzutc()),\n",
" 'database_format': '%d.%c.%Y',\n",
" 'example': '30.01.2022',\n",
" 'has_time': False,\n",
" 'id': 2,\n",
" 'unix_format': 'yyyy-MM-dd'},\n",
- " {'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 225000, tzinfo=tzutc()),\n",
+ " {'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 474000, tzinfo=tzutc()),\n",
" 'database_format': '%d.%c.%y',\n",
" 'example': '30.01.22',\n",
" 'has_time': False,\n",
" 'id': 3,\n",
" 'unix_format': 'yyyy-MM-dd'},\n",
- " {'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 229000, tzinfo=tzutc()),\n",
+ " {'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 481000, tzinfo=tzutc()),\n",
" 'database_format': '%c/%d/%Y',\n",
" 'example': '01/30/2022',\n",
" 'has_time': False,\n",
" 'id': 4,\n",
" 'unix_format': 'yyyy-MM-dd'},\n",
- " {'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 234000, tzinfo=tzutc()),\n",
+ " {'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 486000, tzinfo=tzutc()),\n",
" 'database_format': '%c/%d/%y',\n",
" 'example': '01/30/22',\n",
" 'has_time': False,\n",
" 'id': 5,\n",
" 'unix_format': 'yyyy-MM-dd'},\n",
- " {'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 237000, tzinfo=tzutc()),\n",
+ " {'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 490000, tzinfo=tzutc()),\n",
" 'database_format': '%Y-%c-%d '\n",
" '%H:%i:%S.%f',\n",
" 'example': '2022-01-30 13:44:25.0',\n",
@@ -260,7 +260,7 @@
" 'id': 6,\n",
" 'unix_format': 'yyyy-MM-dd '\n",
" 'HH:mm:ss.SSSSSS'},\n",
- " {'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 240000, tzinfo=tzutc()),\n",
+ " {'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 497000, tzinfo=tzutc()),\n",
" 'database_format': '%Y-%c-%d '\n",
" '%H:%i:%S',\n",
" 'example': '2022-01-30 13:44:25',\n",
@@ -268,7 +268,7 @@
" 'id': 7,\n",
" 'unix_format': 'yyyy-MM-dd '\n",
" 'HH:mm:ss'},\n",
- " {'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 244000, tzinfo=tzutc()),\n",
+ " {'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 501000, tzinfo=tzutc()),\n",
" 'database_format': '%d.%c.%Y '\n",
" '%H:%i:%S',\n",
" 'example': '30.01.2022 13:44:25',\n",
@@ -302,13 +302,13 @@
" 'repository': 'mariadb',\n",
" 'size': None,\n",
" 'tag': '10.5'},\n",
- " 'internal_name': 'fda-userdb-ethmusmir-0fa84f08-055c-11ed-926d-6130ea600442',\n",
+ " 'internal_name': 'fda-userdb-ethmusmir-9361f062-06b8-11ed-9f94-5dbb795396e0',\n",
" 'ip_address': None,\n",
" 'is_public': None,\n",
- " 'name': 'ethmusmir 0fa84f08-055c-11ed-926d-6130ea600442',\n",
- " 'port': 14458,\n",
+ " 'name': 'ethmusmir 9361f062-06b8-11ed-9f94-5dbb795396e0',\n",
+ " 'port': 25564,\n",
" 'state': None},\n",
- " 'created': datetime.datetime(2022, 7, 16, 23, 7, 33, 468000, tzinfo=tzutc()),\n",
+ " 'created': datetime.datetime(2022, 7, 18, 16, 42, 22, 147000, tzinfo=tzutc()),\n",
" 'creator': {'authorities': None,\n",
" 'containers': None,\n",
" 'databases': None,\n",
@@ -324,52 +324,52 @@
" 'username': 'user'},\n",
" 'deleted': None,\n",
" 'description': 'ethmusmir',\n",
- " 'exchange': 'ethmusmir_12fb6852-055c-11ed-926d-6130ea600442',\n",
- " 'id': 5,\n",
+ " 'exchange': 'ethmusmir_985e99b2-06b8-11ed-9f94-5dbb795396e0',\n",
+ " 'id': 2,\n",
" 'image': {'compiled': None,\n",
- " 'date_formats': [{'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 212000, tzinfo=tzutc()),\n",
+ " 'date_formats': [{'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 460000, tzinfo=tzutc()),\n",
" 'database_format': '%Y-%c-%d',\n",
" 'example': '2022-01-30',\n",
" 'has_time': False,\n",
" 'id': 1,\n",
" 'unix_format': 'yyyy-MM-dd'},\n",
- " {'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 221000, tzinfo=tzutc()),\n",
+ " {'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 469000, tzinfo=tzutc()),\n",
" 'database_format': '%d.%c.%Y',\n",
" 'example': '30.01.2022',\n",
" 'has_time': False,\n",
" 'id': 2,\n",
" 'unix_format': 'yyyy-MM-dd'},\n",
- " {'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 225000, tzinfo=tzutc()),\n",
+ " {'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 474000, tzinfo=tzutc()),\n",
" 'database_format': '%d.%c.%y',\n",
" 'example': '30.01.22',\n",
" 'has_time': False,\n",
" 'id': 3,\n",
" 'unix_format': 'yyyy-MM-dd'},\n",
- " {'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 229000, tzinfo=tzutc()),\n",
+ " {'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 481000, tzinfo=tzutc()),\n",
" 'database_format': '%c/%d/%Y',\n",
" 'example': '01/30/2022',\n",
" 'has_time': False,\n",
" 'id': 4,\n",
" 'unix_format': 'yyyy-MM-dd'},\n",
- " {'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 234000, tzinfo=tzutc()),\n",
+ " {'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 486000, tzinfo=tzutc()),\n",
" 'database_format': '%c/%d/%y',\n",
" 'example': '01/30/22',\n",
" 'has_time': False,\n",
" 'id': 5,\n",
" 'unix_format': 'yyyy-MM-dd'},\n",
- " {'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 237000, tzinfo=tzutc()),\n",
+ " {'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 490000, tzinfo=tzutc()),\n",
" 'database_format': '%Y-%c-%d %H:%i:%S.%f',\n",
" 'example': '2022-01-30 13:44:25.0',\n",
" 'has_time': True,\n",
" 'id': 6,\n",
" 'unix_format': 'yyyy-MM-dd HH:mm:ss.SSSSSS'},\n",
- " {'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 240000, tzinfo=tzutc()),\n",
+ " {'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 497000, tzinfo=tzutc()),\n",
" 'database_format': '%Y-%c-%d %H:%i:%S',\n",
" 'example': '2022-01-30 13:44:25',\n",
" 'has_time': True,\n",
" 'id': 7,\n",
" 'unix_format': 'yyyy-MM-dd HH:mm:ss'},\n",
- " {'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 244000, tzinfo=tzutc()),\n",
+ " {'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 501000, tzinfo=tzutc()),\n",
" 'database_format': '%d.%c.%Y %H:%i:%S',\n",
" 'example': '30.01.2022 13:44:25',\n",
" 'has_time': True,\n",
@@ -401,11 +401,11 @@
" 'repository': 'mariadb',\n",
" 'size': None,\n",
" 'tag': '10.5'},\n",
- " 'internal_name': 'ethmusmir_12fb6852-055c-11ed-926d-6130ea600442',\n",
+ " 'internal_name': 'ethmusmir_985e99b2-06b8-11ed-9f94-5dbb795396e0',\n",
" 'is_public': False,\n",
" 'language': None,\n",
" 'license': None,\n",
- " 'name': 'ethmusmir 12fb6852-055c-11ed-926d-6130ea600442',\n",
+ " 'name': 'ethmusmir 985e99b2-06b8-11ed-9f94-5dbb795396e0',\n",
" 'publication': None,\n",
" 'publisher': None,\n",
" 'subjects': None,\n",
@@ -425,49 +425,54 @@
},
{
"cell_type": "code",
- "execution_count": 57,
+ "execution_count": 7,
+ "metadata": {
+ "pycharm": {
+ "name": "#%%\n"
+ }
+ },
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'contact': None,\n",
- " 'container': {'created': datetime.datetime(2022, 7, 16, 23, 7, 27, 694000, tzinfo=tzutc()),\n",
+ " 'container': {'created': datetime.datetime(2022, 7, 18, 16, 42, 13, 567000, tzinfo=tzutc()),\n",
" 'databases': None,\n",
- " 'hash': 'e82d1959b1077dc04803c424b7860c7294bb21436df89d1bbf967ed3ce28d4e8',\n",
- " 'id': 5,\n",
+ " 'hash': '8a1433085098edbbf017221e400eb8575262dbaf4aaa6a2f4e75178ec9fe6832',\n",
+ " 'id': 2,\n",
" 'image': {'compiled': None,\n",
- " 'date_formats': [{'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 212000, tzinfo=tzutc()),\n",
+ " 'date_formats': [{'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 460000, tzinfo=tzutc()),\n",
" 'database_format': '%Y-%c-%d',\n",
" 'example': '2022-01-30',\n",
" 'has_time': False,\n",
" 'id': 1,\n",
" 'unix_format': 'yyyy-MM-dd'},\n",
- " {'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 221000, tzinfo=tzutc()),\n",
+ " {'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 469000, tzinfo=tzutc()),\n",
" 'database_format': '%d.%c.%Y',\n",
" 'example': '30.01.2022',\n",
" 'has_time': False,\n",
" 'id': 2,\n",
" 'unix_format': 'yyyy-MM-dd'},\n",
- " {'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 225000, tzinfo=tzutc()),\n",
+ " {'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 474000, tzinfo=tzutc()),\n",
" 'database_format': '%d.%c.%y',\n",
" 'example': '30.01.22',\n",
" 'has_time': False,\n",
" 'id': 3,\n",
" 'unix_format': 'yyyy-MM-dd'},\n",
- " {'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 229000, tzinfo=tzutc()),\n",
+ " {'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 481000, tzinfo=tzutc()),\n",
" 'database_format': '%c/%d/%Y',\n",
" 'example': '01/30/2022',\n",
" 'has_time': False,\n",
" 'id': 4,\n",
" 'unix_format': 'yyyy-MM-dd'},\n",
- " {'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 234000, tzinfo=tzutc()),\n",
+ " {'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 486000, tzinfo=tzutc()),\n",
" 'database_format': '%c/%d/%y',\n",
" 'example': '01/30/22',\n",
" 'has_time': False,\n",
" 'id': 5,\n",
" 'unix_format': 'yyyy-MM-dd'},\n",
- " {'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 237000, tzinfo=tzutc()),\n",
+ " {'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 490000, tzinfo=tzutc()),\n",
" 'database_format': '%Y-%c-%d '\n",
" '%H:%i:%S.%f',\n",
" 'example': '2022-01-30 13:44:25.0',\n",
@@ -475,7 +480,7 @@
" 'id': 6,\n",
" 'unix_format': 'yyyy-MM-dd '\n",
" 'HH:mm:ss.SSSSSS'},\n",
- " {'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 240000, tzinfo=tzutc()),\n",
+ " {'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 497000, tzinfo=tzutc()),\n",
" 'database_format': '%Y-%c-%d '\n",
" '%H:%i:%S',\n",
" 'example': '2022-01-30 13:44:25',\n",
@@ -483,7 +488,7 @@
" 'id': 7,\n",
" 'unix_format': 'yyyy-MM-dd '\n",
" 'HH:mm:ss'},\n",
- " {'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 244000, tzinfo=tzutc()),\n",
+ " {'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 501000, tzinfo=tzutc()),\n",
" 'database_format': '%d.%c.%Y '\n",
" '%H:%i:%S',\n",
" 'example': '30.01.2022 13:44:25',\n",
@@ -517,13 +522,13 @@
" 'repository': 'mariadb',\n",
" 'size': None,\n",
" 'tag': '10.5'},\n",
- " 'internal_name': 'fda-userdb-ethmusmir-0fa84f08-055c-11ed-926d-6130ea600442',\n",
+ " 'internal_name': 'fda-userdb-ethmusmir-9361f062-06b8-11ed-9f94-5dbb795396e0',\n",
" 'ip_address': None,\n",
" 'is_public': None,\n",
- " 'name': 'ethmusmir 0fa84f08-055c-11ed-926d-6130ea600442',\n",
- " 'port': 14458,\n",
+ " 'name': 'ethmusmir 9361f062-06b8-11ed-9f94-5dbb795396e0',\n",
+ " 'port': 25564,\n",
" 'state': None},\n",
- " 'created': datetime.datetime(2022, 7, 16, 23, 7, 33, 468000, tzinfo=tzutc()),\n",
+ " 'created': datetime.datetime(2022, 7, 18, 16, 42, 22, 147000, tzinfo=tzutc()),\n",
" 'creator': {'authorities': None,\n",
" 'containers': None,\n",
" 'databases': None,\n",
@@ -542,52 +547,52 @@
" 'https://github.com/ketchupok/ethmusmir applied on a remixed '\n",
" 'recording of the SeFiRe field recordings dataset '\n",
" 'https://github.com/matijama/field-recording-db',\n",
- " 'exchange': 'ethmusmir_12fb6852-055c-11ed-926d-6130ea600442',\n",
- " 'id': 5,\n",
+ " 'exchange': 'ethmusmir_985e99b2-06b8-11ed-9f94-5dbb795396e0',\n",
+ " 'id': 2,\n",
" 'image': {'compiled': None,\n",
- " 'date_formats': [{'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 212000, tzinfo=tzutc()),\n",
+ " 'date_formats': [{'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 460000, tzinfo=tzutc()),\n",
" 'database_format': '%Y-%c-%d',\n",
" 'example': '2022-01-30',\n",
" 'has_time': False,\n",
" 'id': 1,\n",
" 'unix_format': 'yyyy-MM-dd'},\n",
- " {'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 221000, tzinfo=tzutc()),\n",
+ " {'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 469000, tzinfo=tzutc()),\n",
" 'database_format': '%d.%c.%Y',\n",
" 'example': '30.01.2022',\n",
" 'has_time': False,\n",
" 'id': 2,\n",
" 'unix_format': 'yyyy-MM-dd'},\n",
- " {'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 225000, tzinfo=tzutc()),\n",
+ " {'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 474000, tzinfo=tzutc()),\n",
" 'database_format': '%d.%c.%y',\n",
" 'example': '30.01.22',\n",
" 'has_time': False,\n",
" 'id': 3,\n",
" 'unix_format': 'yyyy-MM-dd'},\n",
- " {'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 229000, tzinfo=tzutc()),\n",
+ " {'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 481000, tzinfo=tzutc()),\n",
" 'database_format': '%c/%d/%Y',\n",
" 'example': '01/30/2022',\n",
" 'has_time': False,\n",
" 'id': 4,\n",
" 'unix_format': 'yyyy-MM-dd'},\n",
- " {'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 234000, tzinfo=tzutc()),\n",
+ " {'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 486000, tzinfo=tzutc()),\n",
" 'database_format': '%c/%d/%y',\n",
" 'example': '01/30/22',\n",
" 'has_time': False,\n",
" 'id': 5,\n",
" 'unix_format': 'yyyy-MM-dd'},\n",
- " {'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 237000, tzinfo=tzutc()),\n",
+ " {'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 490000, tzinfo=tzutc()),\n",
" 'database_format': '%Y-%c-%d %H:%i:%S.%f',\n",
" 'example': '2022-01-30 13:44:25.0',\n",
" 'has_time': True,\n",
" 'id': 6,\n",
" 'unix_format': 'yyyy-MM-dd HH:mm:ss.SSSSSS'},\n",
- " {'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 240000, tzinfo=tzutc()),\n",
+ " {'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 497000, tzinfo=tzutc()),\n",
" 'database_format': '%Y-%c-%d %H:%i:%S',\n",
" 'example': '2022-01-30 13:44:25',\n",
" 'has_time': True,\n",
" 'id': 7,\n",
" 'unix_format': 'yyyy-MM-dd HH:mm:ss'},\n",
- " {'created_at': datetime.datetime(2022, 7, 16, 22, 53, 7, 244000, tzinfo=tzutc()),\n",
+ " {'created_at': datetime.datetime(2022, 7, 18, 16, 37, 34, 501000, tzinfo=tzutc()),\n",
" 'database_format': '%d.%c.%Y %H:%i:%S',\n",
" 'example': '30.01.2022 13:44:25',\n",
" 'has_time': True,\n",
@@ -619,12 +624,12 @@
" 'repository': 'mariadb',\n",
" 'size': None,\n",
" 'tag': '10.5'},\n",
- " 'internal_name': 'ethmusmir_12fb6852-055c-11ed-926d-6130ea600442',\n",
+ " 'internal_name': 'ethmusmir_985e99b2-06b8-11ed-9f94-5dbb795396e0',\n",
" 'is_public': False,\n",
" 'language': 'en',\n",
" 'license': {'identifier': 'Apache-2.0',\n",
" 'uri': 'https://opensource.org/licenses/Apache-2.0'},\n",
- " 'name': 'ethmusmir 12fb6852-055c-11ed-926d-6130ea600442',\n",
+ " 'name': 'ethmusmir 985e99b2-06b8-11ed-9f94-5dbb795396e0',\n",
" 'publication': '2022-07-17',\n",
" 'publisher': 'Technical University of Vienna',\n",
" 'subjects': [],\n",
@@ -645,17 +650,11 @@
" \"publication\": \"2022-07-17\"\n",
"}, container_id, database_id)\n",
"print(response)"
- ],
- "metadata": {
- "collapsed": false,
- "pycharm": {
- "name": "#%%\n"
- }
- }
+ ]
},
{
"cell_type": "code",
- "execution_count": 58,
+ "execution_count": 8,
"metadata": {
"pycharm": {
"name": "#%%\n"
@@ -666,7 +665,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "{'id': 5, 'internal_name': 'feature_extraction', 'name': 'Feature Extraction'}\n"
+ "{'id': 2, 'internal_name': 'feature_extraction', 'name': 'Feature Extraction'}\n"
]
}
],
@@ -700,7 +699,7 @@
},
{
"cell_type": "code",
- "execution_count": 59,
+ "execution_count": 9,
"metadata": {
"pycharm": {
"name": "#%%\n"
@@ -717,7 +716,7 @@
},
{
"cell_type": "code",
- "execution_count": 60,
+ "execution_count": 10,
"metadata": {
"pycharm": {
"name": "#%%\n"
@@ -729,7 +728,7 @@
"output_type": "stream",
"text": [
"... save file contents from https://test.researchdata.tuwien.ac.at/api/records/xksnz-cfg98/files/audio.wav/content\n",
- "... extracted {'track': {'parts': [{'content': 'instrumental', 'duration': 5, 'start': 0}, {'content': 'speech', 'duration': 4, 'start': 5}, {'content': 'choir singing', 'duration': 6, 'start': 9}, {'content': 'solo singing', 'duration': 4, 'start': 15}], 'duration': 20.323265306122448, 'tempo': 'nan'}}\n",
+ "... extracted {'track': {'tempo': 'nan', 'duration': 20.323265306122448, 'parts': [{'start': 0, 'duration': 5, 'content': 'instrumental'}, {'start': 5, 'duration': 4, 'content': 'speech'}, {'start': 9, 'duration': 6, 'content': 'choir singing'}, {'start': 15, 'duration': 4, 'content': 'solo singing'}]}}\n",
"1\n",
"1\n",
"1\n",
@@ -754,7 +753,7 @@
},
{
"cell_type": "code",
- "execution_count": 61,
+ "execution_count": 11,
"metadata": {
"pycharm": {
"name": "#%%\n"
@@ -782,7 +781,7 @@
},
{
"cell_type": "code",
- "execution_count": 62,
+ "execution_count": 12,
"metadata": {
"pycharm": {
"name": "#%%\n"
@@ -793,8 +792,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "{'cid': 5,\n",
- " 'created': datetime.datetime(2022, 7, 16, 23, 7, 43, 70000, tzinfo=tzutc()),\n",
+ "{'cid': 2,\n",
+ " 'created': datetime.datetime(2022, 7, 18, 16, 42, 46, 36000, tzinfo=tzutc()),\n",
" 'creator': {'authorities': None,\n",
" 'containers': None,\n",
" 'databases': None,\n",
@@ -809,23 +808,23 @@
" 'titles_before': None,\n",
" 'username': 'user'},\n",
" 'creators': [{'affiliation': 'TU Wien',\n",
- " 'created': datetime.datetime(2022, 7, 16, 23, 7, 43, 82000, tzinfo=tzutc()),\n",
- " 'id': 5,\n",
- " 'last_modified': datetime.datetime(2022, 7, 16, 23, 7, 43, 82000, tzinfo=tzutc()),\n",
+ " 'created': datetime.datetime(2022, 7, 18, 16, 42, 46, 128000, tzinfo=tzutc()),\n",
+ " 'id': 1,\n",
+ " 'last_modified': datetime.datetime(2022, 7, 18, 16, 42, 46, 128000, tzinfo=tzutc()),\n",
" 'name': 'Weise, Martin',\n",
" 'orcid': '0000-0003-4216-302X'},\n",
" {'affiliation': 'TU Wien',\n",
- " 'created': datetime.datetime(2022, 7, 16, 23, 7, 43, 87000, tzinfo=tzutc()),\n",
- " 'id': 6,\n",
- " 'last_modified': datetime.datetime(2022, 7, 16, 23, 7, 43, 87000, tzinfo=tzutc()),\n",
+ " 'created': datetime.datetime(2022, 7, 18, 16, 42, 46, 141000, tzinfo=tzutc()),\n",
+ " 'id': 2,\n",
+ " 'last_modified': datetime.datetime(2022, 7, 18, 16, 42, 46, 141000, tzinfo=tzutc()),\n",
" 'name': 'Rauber, Andreas',\n",
" 'orcid': '0000-0002-9272-6225'}],\n",
- " 'dbid': 5,\n",
+ " 'dbid': 2,\n",
" 'description': 'description',\n",
" 'doi': None,\n",
- " 'execution': datetime.datetime(2022, 7, 16, 23, 7, 42, tzinfo=tzutc()),\n",
- " 'id': 3,\n",
- " 'last_modified': datetime.datetime(2022, 7, 16, 23, 7, 43, 70000, tzinfo=tzutc()),\n",
+ " 'execution': datetime.datetime(2022, 7, 18, 16, 42, 44, tzinfo=tzutc()),\n",
+ " 'id': 1,\n",
+ " 'last_modified': datetime.datetime(2022, 7, 18, 16, 42, 46, 36000, tzinfo=tzutc()),\n",
" 'publication': '2022-07-16',\n",
" 'qid': 1,\n",
" 'query': 'SELECT `content`, `start`, `duration` FROM `feature_extraction`',\n",
@@ -872,25 +871,31 @@
},
{
"cell_type": "code",
- "execution_count": 63,
+ "execution_count": 13,
+ "metadata": {
+ "pycharm": {
+ "name": "#%%\n"
+ }
+ },
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "http://localhost:3000/pid/3\n"
+ "http://localhost:3000/pid/1\n"
]
}
],
"source": [
"print(\"http://localhost:3000/pid/\" + str(identifier_id))"
- ],
- "metadata": {
- "collapsed": false,
- "pycharm": {
- "name": "#%%\n"
- }
- }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
}
],
"metadata": {
@@ -909,9 +914,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.9.12"
+ "version": "3.10.4"
}
},
"nbformat": 4,
"nbformat_minor": 1
-}
\ No newline at end of file
+}
diff --git a/.jupyter/requirements.txt b/.jupyter/requirements.txt
index cead3141b668dc1ff86be21106936bad117b97a9..2a252d8604d7e5efc1b8b241ca1f93bb006dd87c 100644
--- a/.jupyter/requirements.txt
+++ b/.jupyter/requirements.txt
@@ -1 +1,2 @@
-requests==2.28.0
\ No newline at end of file
+requests>=2.28.0
+pandas>=1.4.3
\ No newline at end of file