def copy_signatures(
target_function: Callable,
template_functions: List[TemplateFunction],
exclude_args: Iterable[str] = None,
) -> Callable:
"""A decorator that copies function signatures from one or more template functions to a
target function.
Args:
target_function: Function to modify
template_functions: Functions containing params to apply to ``target_function``
"""
# Start with 'self' parameter if this is an instance method
fparams = {}
if 'self' in signature(target_function).parameters or ismethod(
target_function):
fparams['self'] = forge.self
# Add and combine parameters from all template functions, excluding duplicates, self, and *args
for func in template_functions:
new_fparams = {
k: v
for k, v in forge.copy(func).signature.parameters.items()
if k != 'self' and v.kind != Parameter.VAR_POSITIONAL
}
fparams.update(new_fparams)
# Manually remove any excluded parameters
for key in ensure_list(exclude_args):
fparams.pop(key, None)
fparams = deduplicate_var_kwargs(fparams)
revision = forge.sign(*fparams.values())
return revision(target_function)
def validate_ids(ids: Any) -> str:
"""Ensure ID(s) are all valid, and convert to a comma-delimited string if there are multiple
Raises:
:py:exc:`ValueError` if any values are not valid integers
"""
try:
ids = [int(value) for value in ensure_list(ids, convert_csv=True)]
except (TypeError, ValueError):
raise ValueError(f'Invalid ID(s): {ids}; must specify integers only')
return convert_csv_list(ids)
def convert_observation_params(params):
"""Some common parameter conversions needed by observation CRUD endpoints"""
params = convert_observation_field_params(params)
if params.get('observed_on'):
params['observed_on_string'] = params.pop('observed_on')
# Split out photos and sounds to upload separately
photos = ensure_list(params.pop('local_photos', None))
photos.extend(ensure_list(params.pop('photos',
None))) # Alias for 'local_photos'
sounds = ensure_list(params.pop('sounds', None))
photo_ids = ensure_list(params.pop('photo_ids', None))
# Split API request params from common function args
params, kwargs = split_common_params(params)
# ignore_photos must be 1 rather than true; 0 does not work, so just remove if false
if params.pop('ignore_photos', True):
kwargs['ignore_photos'] = 1
return photos, sounds, photo_ids, params, kwargs
def upload_photos(observation_id: int, photos: MultiFile,
**params) -> ListResponse:
"""Upload a local photo and assign it to an existing observation
.. rubric:: Notes
* :fa:`lock` :ref:`Requires authentication <auth>`
* API reference: :v0:`POST /observation_photos <post-observation_photos>`
Example:
>>> token = get_access_token()
>>> upload_photos(1234, '~/observations/2020_09_01_14003156.jpg', access_token=token)
Multiple photos can be uploaded at once:
>>> upload_photos(
>>> 1234,
>>> ['~/observations/2020_09_01_14003156.jpg', '~/observations/2020_09_01_14004223.jpg'],
>>> access_token=token,
>>> )
.. admonition:: Example Response
:class: toggle
.. literalinclude:: ../sample_data/post_observation_photos_list.json
:language: javascript
Args:
observation_id: the ID of the observation
photo: An image file, file-like object, or path
access_token: Access token for user authentication, as returned by :func:`get_access_token()`
Returns:
Information about the uploaded photo(s)
"""
responses = []
for photo in ensure_list(photos):
response = post(
url=f'{API_V0_BASE_URL}/observation_photos',
files=photo,
raise_for_status=False,
**{'observation_photo[observation_id]': observation_id},
**params,
)
responses.append(response)
# Wait until all uploads complete to raise errors for any failed uploads
for response in responses:
response.raise_for_status()
return [response.json() for response in responses]
def ensure_model_list(values: ResponseOrObjects) -> List[BaseModel]:
"""If the given values are raw JSON responses, attempt to detect their type and convert to
model objects
"""
if isinstance(values, Paginator):
return values.all()
values = ensure_list(values)
if isinstance(values, BaseModelCollection) or isinstance(
values[0], BaseModel):
return values # type: ignore
cls = detect_type(values[0])
return [cls.from_json(value) for value in values]
def update_observation(observation_id: int, **params) -> ListResponse:
"""Update a single observation
.. rubric:: Notes
* :fa:`lock` :ref:`Requires authentication <auth>`
* API reference: :v1:`PUT /observations <Observations/put_observations>`
Example:
>>> token = get_access_token()
>>> update_observation(
>>> 17932425,
>>> access_token=token,
>>> description='updated description!',
>>> )
.. admonition:: Example Response
:class: toggle
.. literalinclude:: ../sample_data/update_observation_result.json
:language: javascript
Returns:
JSON response containing the newly updated observation(s)
"""
photos, sounds, photo_ids, params, kwargs = convert_observation_params(
params)
payload = {'observation': params}
# If adding photos by ID, they must be appended to the list of existing photo IDs
if photo_ids:
logger.info(f'Adding {len(photo_ids)} existing photos')
obs = get_observation(observation_id)
combined_photo_ids = [p['id'] for p in obs['photos']]
combined_photo_ids.extend(ensure_list(photo_ids))
payload['local_photos'] = {str(observation_id): combined_photo_ids}
kwargs.pop('ignore_photos', None)
response = put_v1(f'observations/{observation_id}', json=payload, **kwargs)
upload(observation_id, photos=photos, sounds=sounds, **kwargs)
return response.json()
def from_json_list(cls: Type[T], value: ResponseOrResults) -> List[T]:
"""Initialize a collection of model objects from an API response or response results"""
return [cls.from_json(item) for item in ensure_list(value)]
def test_ensure_list__csv(input, delimiter, expected_output):
assert ensure_list(input, convert_csv=True,
delimiter=delimiter) == expected_output
def test_ensure_list(input, expected_output):
assert ensure_list(input) == expected_output
def upload(
observation_id: int,
photos: MultiFile = None,
sounds: MultiFile = None,
photo_ids: MultiIntOrStr = None,
**params,
) -> ListResponse:
"""Upload one or more local photo and/or sound files, and add them to an existing observation.
You may also attach a previously uploaded photo by photo ID, e.g. if your photo contains
multiple organisms and you want to create a separate observation for each one.
.. rubric:: Notes
* :fa:`lock` :ref:`Requires authentication <auth>`
* API reference: :v1:`POST /observation_photos <Observation_Photos/post_observation_photos>`
Example:
>>> token = get_access_token()
>>> upload(
... 1234,
... photos=['~/observations/2020_09_01_140031.jpg', '~/observations/2020_09_01_140042.jpg'],
... sounds='~/observations/2020_09_01_140031.mp3',
... photo_ids=[1234, 5678],
... access_token=token,
... )
.. admonition:: Example Response
:class: toggle
.. literalinclude:: ../sample_data/upload_photos_and_sounds.json
:language: JSON
Args:
observation_id: the ID of the observation
photos: One or more image files, file-like objects, file paths, or URLs
sounds: One or more audio files, file-like objects, file paths, or URLs
photo_ids: One or more IDs of previously uploaded photos to attach to the observation
access_token: Access token for user authentication, as returned by :func:`get_access_token()`
Returns:
Information about the uploaded file(s)
"""
params['raise_for_status'] = False
responses = []
photos, sounds = ensure_list(photos), ensure_list(sounds)
logger.info(f'Uploading {len(photos)} photos and {len(sounds)} sounds')
# Upload photos
for photo in photos:
response = post_v1(
'observation_photos',
files=photo,
**{'observation_photo[observation_id]': observation_id},
**params,
)
responses.append(response)
# Upload sounds
for sound in sounds:
response = post_v1(
'observation_sounds',
files=sound,
**{'observation_sound[observation_id]': observation_id},
**params,
)
responses.append(response)
# Attach previously uploaded photos by ID
if photo_ids:
response = update_observation(observation_id,
photo_ids=photo_ids,
access_token=params.get(
'access_token', None))
responses.append(response)
# Wait until all uploads complete to raise errors for any failed uploads
for response in responses:
response.raise_for_status()
return [response.json() for response in responses]